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TCBB
2010
106views more  TCBB 2010»
13 years 7 months ago
Predicting Novel Human Gene Ontology Annotations Using Semantic Analysis
—The correct interpretation of many molecular biology experiments depends in an essential way on the accuracy and consistency of the existing annotation databases. Such databases...
Bogdan Done, Purvesh Khatri, Arina Done, Sorin Dra...
BMCBI
2007
173views more  BMCBI 2007»
13 years 8 months ago
Recursive Cluster Elimination (RCE) for classification and feature selection from gene expression data
Background: Classification studies using gene expression datasets are usually based on small numbers of samples and tens of thousands of genes. The selection of those genes that a...
Malik Yousef, Segun Jung, Louise C. Showe, Michael...
BMCBI
2007
94views more  BMCBI 2007»
13 years 8 months ago
False positive reduction in protein-protein interaction predictions using gene ontology annotations
Background: Many crucial cellular operations such as metabolism, signalling, and regulations are based on protein-protein interactions. However, the lack of robust protein-protein...
Mahmood A. Mahdavi, Yen-Han Lin
NIPS
2001
13 years 10 months ago
A kernel method for multi-labelled classification
This article presents a Support Vector Machine (SVM) like learning system to handle multi-label problems. Such problems are usually decomposed into many two-class problems but the...
André Elisseeff, Jason Weston
BMCBI
2007
127views more  BMCBI 2007»
13 years 8 months ago
Predicting the phenotypic effects of non-synonymous single nucleotide polymorphisms based on support vector machines
Background: Human genetic variations primarily result from single nucleotide polymorphisms (SNPs) that occur approximately every 1000 bases in the overall human population. The no...
Jian Tian, Ningfeng Wu, Xuexia Guo, Jun Guo, Juhua...